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Build and Manage data ingestion (batch/Streaming) using Pub/Sub, Cloud Functions, Data Fusion. Design and optimise BigQuery data Models, partitions, clustering, and big query performance. Data engineer with strong coding and technical architectural experience in Google Data Solution Should be able to guide a new team to build algorithms and data products, resolve blockers and bugs and be the code custodian. Work across the full data pipeline on projects (ingestion, data modelling, data warehousing, Data Quality validity). Knowledge on CI/CD Pipelines Excellent communication and collaboration skills. Commitment to continuous learning and improvement.
About the Role
We are looking for Google Data Engineering with 6 – 8 years of experience.
Required Technical Skill Set: GCP, PySpark, GCP (BigQuery, Dataflow, Dataproc, GCS, Pub/Sub, Composer), developing scalable solutions.
Key Responsibilities:
Good-to-Have
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